{"title":"基于模糊层次分析法的公共交通需求辅助规划分析","authors":"Ahmad Alkharabsheh, Sarbast Moslem, S. Duleba","doi":"10.3846/transport.2022.15881","DOIUrl":null,"url":null,"abstract":"Travel demand plays an essential role in strategic transport planning. Generally, experts use either discrete methods, e.g. discrete choice models or simulation, e.g. activity-based models to estimate demand in transportation. This paper offers a different solution; instead of using the traditional approach, the demand is considered as a Multi Criteria Decision Making (MCDM) problem and surveying the citizens’ preferences provides the results for decision support. Public transport demand depends on two main issues, quality and price of the transportation. In a hierarchical model, both issues have been integrated and the well-proven Analytic Hierarchical Process (AHP) method has been applied in the current research. Further, fuzzyfication of the scores have also been conducted because of the citizen evaluator pattern. The fuzzy-AHP (FAHP) model has been tested in a real-world situation with the case study of Amman (Jordan).","PeriodicalId":23260,"journal":{"name":"Transport","volume":"33 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"ANALYZING PUBLIC TRAVEL DEMAND BY A FUZZY ANALYTIC HIERARCHY PROCESS MODEL FOR SUPPORTING TRANSPORT PLANNING\",\"authors\":\"Ahmad Alkharabsheh, Sarbast Moslem, S. Duleba\",\"doi\":\"10.3846/transport.2022.15881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Travel demand plays an essential role in strategic transport planning. Generally, experts use either discrete methods, e.g. discrete choice models or simulation, e.g. activity-based models to estimate demand in transportation. This paper offers a different solution; instead of using the traditional approach, the demand is considered as a Multi Criteria Decision Making (MCDM) problem and surveying the citizens’ preferences provides the results for decision support. Public transport demand depends on two main issues, quality and price of the transportation. In a hierarchical model, both issues have been integrated and the well-proven Analytic Hierarchical Process (AHP) method has been applied in the current research. Further, fuzzyfication of the scores have also been conducted because of the citizen evaluator pattern. The fuzzy-AHP (FAHP) model has been tested in a real-world situation with the case study of Amman (Jordan).\",\"PeriodicalId\":23260,\"journal\":{\"name\":\"Transport\",\"volume\":\"33 1\",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2022-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transport\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.3846/transport.2022.15881\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3846/transport.2022.15881","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
ANALYZING PUBLIC TRAVEL DEMAND BY A FUZZY ANALYTIC HIERARCHY PROCESS MODEL FOR SUPPORTING TRANSPORT PLANNING
Travel demand plays an essential role in strategic transport planning. Generally, experts use either discrete methods, e.g. discrete choice models or simulation, e.g. activity-based models to estimate demand in transportation. This paper offers a different solution; instead of using the traditional approach, the demand is considered as a Multi Criteria Decision Making (MCDM) problem and surveying the citizens’ preferences provides the results for decision support. Public transport demand depends on two main issues, quality and price of the transportation. In a hierarchical model, both issues have been integrated and the well-proven Analytic Hierarchical Process (AHP) method has been applied in the current research. Further, fuzzyfication of the scores have also been conducted because of the citizen evaluator pattern. The fuzzy-AHP (FAHP) model has been tested in a real-world situation with the case study of Amman (Jordan).
期刊介绍:
At present, transport is one of the key branches playing a crucial role in the development of economy. Reliable and properly organized transport services are required for a professional performance of industry, construction and agriculture. The public mood and efficiency of work also largely depend on the valuable functions of a carefully chosen transport system. A steady increase in transportation is accompanied by growing demands for a higher quality of transport services and optimum efficiency of transport performance. Currently, joint efforts taken by the transport experts and governing institutions of the country are required to develop and enhance the performance of the national transport system conducting theoretical and empirical research.
TRANSPORT is an international peer-reviewed journal covering main aspects of transport and providing a source of information for the engineer and the applied scientist.
The journal TRANSPORT publishes articles in the fields of:
transport policy;
fundamentals of the transport system;
technology for carrying passengers and freight using road, railway, inland waterways, sea and air transport;
technology for multimodal transportation and logistics;
loading technology;
roads, railways;
airports, ports, transport terminals;
traffic safety and environment protection;
design, manufacture and exploitation of motor vehicles;
pipeline transport;
transport energetics;
fuels, lubricants and maintenance materials;
teamwork of customs and transport;
transport information technologies;
transport economics and management;
transport standards;
transport educology and history, etc.